Goodbye Spreadsheets: The Path to a 40% Faster Financial Close

Goodbye Spreadsheets: The Path to a 40% Faster Financial Close

How a Finance Team streamlined its Year-End Close, reducing month-end close by up to 40% with a centralized data warehouse and Power BI Control Tower.

40%
Faster Close
50%
Less Manual Matching
70%
Fewer Audit Adjustments
Financial Control Tower
Consolidated All Entities YTD Dec 2025
Entity A SAP
$8.2M
▲ +3.8% vs Bdg
Entity B NAV
$6.1M
▼ -1.6% vs Bdg
Entity C Local
$4.8M
▼ -14.2% vs Bdg
Entity D D365
$5.7M
▲ +3.6% vs Bdg
P&L Waterfall — Consolidated YTD
$25M$20M$15M$10M$5M$0
RevenueCOGSGross P.OPEXEBITDAD&ANet Inc.
Data Governance Reconciliation Health
Data Quality Score
94.2%
▲ +6.1% vs LM
Open Issues
4
▼ from 18
Auto-Resolved
78%
▲ +22%
Issue Breakdown by Category
GL Mapping Errors
2
IC Mismatch
1
Missing Accruals
1
Remaining Open Items
1 Unmapped GL 4710 – Entity C $42K
2 FX rate variance – Entity B $18K
3 Accrual reversal – Entity C $12K
4 IC invoice pending – Entity A↔D $8K

📋 Strategic Blueprint Based on Real-World Scenarios

This case story illustrates a common challenge for finance teams aiming for confident, timely reporting. The solution demonstrates our proven approach to creating a single source of truth. Is your financial close still run by spreadsheets? Let’s build your Financial Control Tower →

A Finance Department Running on Spreadsheets

For a mid-size industrial group with multiple subsidiaries, month-end close was a battlefield of conflicting data. Local teams would submit their own Excel-based reports from disparate ERPs, each telling a slightly different story about the financial reality.

The result? Multiple versions of “the truth” and hours wasted in manual reconciliations, leaving little room for actual strategic analysis or planning.

The core of the problem was a fragmented digital landscape, compounded by inconsistent charts of accounts and currencies. Without a centralized data foundation, the finance team was blind to discrepancies until the final consolidation. They were spending all their time preparing data, not analyzing the business.

The Breaking Point

The problem peaked during the year-end audit when growing pressure from auditors uncovered numerous inconsistencies.

A forensic analysis revealed a shocking truth: a lack of clear data lineage meant significant adjustments were needed at the last minute. The culprit? Manual handling errors across a complex multi-ERP environment.

A Single Source of Truth for Financial Reporting

1

Centralize Data Foundation

We built a powerful data warehouse that consolidates GL, sub-ledgers, and intercompany data from all disparate systems (various ERPs, local databases) into one centralized place.

2

Data Governance & Golden Records

We implemented a data governance layer to define golden records for chart of accounts, cost centers, profit centers, and currencies, introducing basic but solid validation rules.

3

Financial Control Tower

Using Power BI, we built standardized dashboards for month-end and year-end close, giving local teams controlled self-service tools and the central team aggregated, validated data.

Technology Ecosystem

We architected a modern, scalable data platform for automated financial analytics, ensuring reliability and a single version of the truth.

Microsoft Azure Azure Cloud
Power BI Power BI
Azure Data Factory Data Factory
Azure Synapse Synapse Analytics

The Reporting Cycle: Before & After

Transform
Before
10–12 days
Typical Month-End Close
15+ versions
Excel spreadsheets to consolidate

“We used to spend the entire month simply assembling the data, leaving no time to actually analyze the numbers.”

— Financial Controller
After
6–8 days
Streamlined Month-End Close
1 dashboard
Fully governed financial data

“Now we can immediately see which entities are lagging and where the inconsistencies are, before they become audit issues.”

— Financial Controller
12 days
Month-End Close (Before)
7 days
Month-End Close (After)
40%
Reduction in Closing Time

A Functional Shift from Data Crunching to Strategic Analysis

The implementation of a centralized data warehouse fundamentally changed the role of the finance department.

Before: Data Chaos

  • Multiple versions of “the truth” in local databases
  • High volume of manual and recurring adjustments
  • Long delays in receiving data from cost centers
  • Reactive culture driven by approaching deadlines

After: Data Clarity

  • One single, governed source of truth for reporting
  • Automated matching and clear data lineage
  • Full visibility into open items and reconciliations
  • Teams focus on strategic analysis and commentary

Quantifiable Business Impact

40%
Reduction in month-end close time, allowing the first draft of the annual report to be delivered 2–3 weeks earlier.
50%
Less manual reconciliation effort required, significantly improving data quality scores across all entities.
70%
Fewer significant adjustments found during audits due to earlier error detection and validation rules.

Your Path to Automated Finance Reporting

01

Data Maturity Assessment

A complimentary 90-minute workshop to evaluate your current financial data infrastructure and create a phased roadmap for building your single source of truth.

02

Data Consolidation Pilot

We select one critical reporting area and build a working “Control Tower” pilot in 6-8 weeks, demonstrating immediate value.

03

Scale & Empower

We scale the solution across all business entities, training your teams to leverage standardized data for continuous improvement.

“Financial automation isn’t just about speed; it’s about trust. The real transformation happens when local accountants and central controllers both look at the same data, confident in its accuracy. We don’t just build dashboards; we build governed data foundations that turn your finance team from data gatherers into strategic advisors. We replace guesswork with certainty, from the local subsidiary up to the boardroom.”

Justyna, PMO Manager

Justyna

PMO Manager, Multishoring

The Experts

Meet the Team Behind the Solutions

Our team combines deep expertise in manufacturing processes with cutting-edge data architecture. They’ve helped dozens of industrial clients transition from reactive “fire-fighting” to proactive, data-driven operations, unlocking millions in operational efficiencies.

Justyna

Justyna PMO Manager

Artur

Artur PMO Specialist

Anna

Anna PMO Specialist

Zuzanna

Zuzanna PMO Specialist